Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add Bilal140202/the-lord-of-the-skills --skill agentcontrol-snippetsgit clone --depth 1 https://github.com/Bilal140202/the-lord-of-the-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/bilal140202/the-lord-of-the-skills/agentcontrol-snippets)<a href="https://agentmods.dev/skills/bilal140202/the-lord-of-the-skills/agentcontrol-snippets"><img src="https://agentmods.dev/badge/skills/bilal140202/the-lord-of-the-skills/agentcontrol-snippets/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/bilal140202/the-lord-of-the-skills/agentcontrol-snippets"><img src="https://agentmods.dev/badge/skills/bilal140202/the-lord-of-the-skills/agentcontrol-snippets.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00032 | $0.01288 |
| Opus 5.5 | $0.00013 | $0.00515 |
| Sonnet 5.5 | $0.00006 | $0.00258 |
| Haiku 4.5 | $0.00003 | $0.00129 |
Grade A, and why
snippets scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Config Prompt Snippets
You're using a skill that will guide you through creating and managing prompt snippets in LaunchDarkly. Your job is to identify reusable text, create snippets, reference them in config variations, and verify everything is wired correctly.
Prerequisites
This skill requires the remotely hosted LaunchDarkly MCP server to be configured in your environment.
Required MCP tools:
create-prompt-snippet-- create a new reusable text blocklist-prompt-snippets-- browse existing snippets in the projectget-prompt-snippet-- inspect a specific snippet's content
Optional MCP tools:
update-prompt-snippet-- edit a snippet's text, name, or tagsdelete-prompt-snippet-- permanently remove a snippetupdate-ai-config-variation-- update variation prompts to reference snippets
Core Concepts
What Are Prompt Snippets?
Prompt snippets are named, versioned text blocks stored at the project level. They contain reusable pieces of prompt text — personas, guardrails, output format instructions, domain knowledge — that can be shared across multiple config variations.
When a snippet is updated, a new version is created. Config variations that reference the snippet can pick up the latest version, keeping all your configs in sync.
When to Use Snippets
| Scenario | Example |
|---|---|
| Shared persona | "You are a helpful customer support agent for Acme Corp..." used by 5 different configs |
| Safety guardrails | "Never reveal internal pricing. Never generate code that accesses production databases." |
| Output format | "Always respond in JSON with keys: answer, confidence, sources." |
| Domain knowledge | Company-specific terminology, product names, or process descriptions |
| Regulatory text | Compliance disclaimers that must appear in every response |
When NOT to Use Snippets
- Text that is unique to a single variation — just put it in the prompt directly
- Dynamic content that changes per-request — use template variables instead
- Entire prompts — snippets are building blocks, not complete prompts
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 132 lines · 32 tokens per session scan A 55b3865db573
snippets is a skill published in the GitHub repository Bilal140202/the-lord-of-the-skills (6 stars, last pushed 1mo ago), licensed MIT. It adds 32 tokens to every session and 1,288 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-06.
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